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3 changes: 2 additions & 1 deletion docs/skills-index.md
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@ skills/nemo-rl-e2e-testing/SKILL
:caption: Performance Techniques
:maxdepth: 1

skills/nemo-mbridge-perf-cpu-offloading/SKILL
skills/nemo-mbridge-perf-moe-long-context/SKILL
skills/nemo-mbridge-perf-moe-optimization-workflow/SKILL
skills/nemo-mbridge-perf-moe-vlm-training/SKILL
Expand Down Expand Up @@ -63,5 +64,5 @@ skills/nemo-mbridge-multi-node-slurm/references/templates
:caption: Resiliency
:maxdepth: 1

skills/resiliency/SKILL
skills/nemo-mbridge-resiliency/SKILL
```
6 changes: 3 additions & 3 deletions docs/training/cpu-offloading.md
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Expand Up @@ -5,7 +5,7 @@ during training, trading throughput for the ability to train models or
configurations that would otherwise not fit in GPU memory.

For operational setup, code anchors, and verification commands, see
[skills/perf-cpu-offloading/SKILL.md](../skills/perf-cpu-offloading/SKILL.md).
[skills/nemo-mbridge-perf-cpu-offloading/SKILL.md](../skills/nemo-mbridge-perf-cpu-offloading/SKILL.md).

## What It Is

Expand Down Expand Up @@ -96,7 +96,7 @@ CPU offloading is configured through two independent config namespaces:
`model.cpu_offloading_num_layers`, and related `model.cpu_offloading_*` fields

For config examples, parameter tables, and runnable commands, see
[skills/perf-cpu-offloading/SKILL.md](../skills/perf-cpu-offloading/SKILL.md).
[skills/nemo-mbridge-perf-cpu-offloading/SKILL.md](../skills/nemo-mbridge-perf-cpu-offloading/SKILL.md).

## Common Failure Modes

Expand All @@ -115,4 +115,4 @@ For config examples, parameter tables, and runnable commands, see
- [docs/training/megatron-fsdp.md](megatron-fsdp.md)
- [docs/training/optimizer-scheduler.md](optimizer-scheduler.md)
- [docs/training/cuda-graphs.md](cuda-graphs.md)
- [skills/perf-cpu-offloading/SKILL.md](../skills/perf-cpu-offloading/SKILL.md)
- [skills/nemo-mbridge-perf-cpu-offloading/SKILL.md](../skills/nemo-mbridge-perf-cpu-offloading/SKILL.md)
8 changes: 4 additions & 4 deletions docs/training/resiliency.md
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Expand Up @@ -7,7 +7,7 @@ due to failures and interruptions during training.

This page is the stable overview for what each resiliency feature is, when to
use it, and which constraints are durable. For operational setup, config knobs,
parameter tables, code anchors, and verification commands, see [skills/resiliency/SKILL.md](../skills/resiliency/SKILL.md).
parameter tables, code anchors, and verification commands, see [skills/nemo-mbridge-resiliency/SKILL.md](../skills/nemo-mbridge-resiliency/SKILL.md).

## What It Is

Expand Down Expand Up @@ -124,7 +124,7 @@ Local checkpointing is useful when:

- Node-local storage must have sufficient capacity for at least one checkpoint
- Replication degree must be configured to survive the expected failure rate
- Requires compatible checkpoint format (see [skills/resiliency/SKILL.md](../skills/resiliency/SKILL.md))
- Requires compatible checkpoint format (see [skills/nemo-mbridge-resiliency/SKILL.md](../skills/nemo-mbridge-resiliency/SKILL.md))

## Re-run State Machine

Expand Down Expand Up @@ -186,7 +186,7 @@ with job-level fault tolerance.

- [docs/training/checkpointing.md](checkpointing.md)
- [docs/performance-guide.md](../performance-guide.md)
- [skills/resiliency/SKILL.md](../skills/resiliency/SKILL.md)
- [skills/resiliency/card.yaml](../skills/resiliency/card.yaml)
- [skills/nemo-mbridge-resiliency/SKILL.md](../skills/nemo-mbridge-resiliency/SKILL.md)
- [skills/nemo-mbridge-resiliency/card.yaml](../skills/nemo-mbridge-resiliency/card.yaml)
- [NVIDIA Resiliency Extension](https://github.com/NVIDIA/nvidia-resiliency-ext)
- [In-Process Restart Guide](https://nvidia.github.io/nvidia-resiliency-ext/inprocess/index.html)
72 changes: 72 additions & 0 deletions skills/nemo-mbridge-perf-cpu-offloading/BENCHMARK.md
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@@ -0,0 +1,72 @@
# Evaluation Report

Evaluation of the `nemo-mbridge-perf-cpu-offloading` skill before publication through NVSkills-Eval.

This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the skill. The goal is to document whether the skill is safe, discoverable, effective, and useful for agents before it is published for broader workflow use.

## Evaluation Summary

- Skill: `nemo-mbridge-perf-cpu-offloading`
- Evaluation date: 2026-05-28
- NVSkills-Eval profile: `external`
- Overall verdict: FAIL
- Tier 3 live agent evaluation: not available in this report

## Agents Used

- Tier 3 agent details were not available in this report.

## Metrics Used

Reported benchmark dimensions:

- Security: checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
- Correctness: checks whether the agent follows the expected workflow and produces the correct final output.
- Discoverability: checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
- Effectiveness: checks whether the agent performs measurably better with the skill than without it.
- Efficiency: checks whether the agent uses fewer tokens and avoids redundant work.

Underlying evaluation signals used in this run:

- No Tier 3 evaluation signal details were available in this report.

## Test Tasks

Tier 3 evaluation task details were not available in this report.

## Results

Tier 3 dimension rollup was not available in this report.

## Tier 1: Static Validation Summary

Tier 1 validation reported findings. NVSkills-Eval ran 9 checks and found 14 total findings.

Top findings:

- MEDIUM PII/gps_coordinates: GPS coordinates (location information) (`SKILL.md:101`)
- MEDIUM QUALITY/quality_correctness: SKILL_SPEC recommended field missing: 'metadata.author' (`skills/nemo-mbridge-perf-cpu-offloading/SKILL.md`)
- MEDIUM QUALITY/quality_correctness: SKILL_SPEC recommended field missing: 'metadata.tags' (`skills/nemo-mbridge-perf-cpu-offloading/SKILL.md`)
- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (`skills/nemo-mbridge-perf-cpu-offloading/SKILL.md`)
- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (`skills/nemo-mbridge-perf-cpu-offloading/SKILL.md`)

## Tier 2: Deduplication Summary

Tier 2 validation reported findings. NVSkills-Eval ran 2 checks and found 1 total findings.

Top findings:

- HIGH DUPLICATE/duplicate: Duplicate content found within SKILL.md:
"### Activation CPU offloading (small/medium models only)" in SKILL.md (lines 46-58)
vs "### Activation offloading" in SKILL.md (lines 70-79)
vs "### Activation offloading" in SKILL.md (lines 82-89)
vs "### Activation offload (small model, PP=1)" in SKILL.md (lines 119-129)
vs "### Weight offload only (small model, PP=1)" in SKILL.md (lines 130-140)
vs "### Both activations and weights (small model, PP=1)" in SKILL.md (lines 141-156)
vs "### MCore activation offload constraints" in SKILL.md (lines 188-206)
vs "### MCore fine-grained offloading mutual exclusion" in SKILL.md (lines 214-222)
vs "### MCore model_parallel_config fields" in SKILL.md (lines 257-267) (`SKILL.md:46`)

## Publication Recommendation

The skill should be reviewed before NVSkills-Eval publication. Skill owners should address the findings above and rerun NVSkills-Eval to refresh this benchmark.
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
---
name: perf-cpu-offloading
name: nemo-mbridge-perf-cpu-offloading
description: Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
license: Apache-2.0
when_to_use: Enabling CPU offload to reduce GPU memory, or investigating a commit that changed CPU offloading config and caused OOM or a crash; 'cpu_offloading', 'optimizer_cpu_offload', 'optimizer_offload_fraction', 'HybridDeviceOptimizer', 'move optimizer to CPU'.
---

Expand All @@ -9,7 +10,7 @@ when_to_use: Enabling CPU offload to reduce GPU memory, or investigating a commi
## References

- Stable docs: @docs/training/cpu-offloading.md
- Structured metadata: @skills/perf-cpu-offloading/card.yaml
- Structured metadata: @skills/nemo-mbridge-perf-cpu-offloading/card.yaml

## What It Is

Expand Down
1 change: 1 addition & 0 deletions skills/nemo-mbridge-perf-cpu-offloading/evals/evals.json
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[]
53 changes: 53 additions & 0 deletions skills/nemo-mbridge-perf-cpu-offloading/skill-card.md
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## Description: <br>
Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer. <br>

This skill is ready for commercial/non-commercial use. <br>

## Owner
NVIDIA <br>

### License/Terms of Use: <br>
Apache 2.0 <br>
## Use Case: <br>
Developers and engineers enabling CPU offload to reduce GPU memory pressure during LLM training, or investigating commits that changed CPU offloading configuration and caused OOM or crashes. <br>

### Deployment Geography for Use: <br>
Global <br>

## Known Risks and Mitigations: <br>
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br>
Mitigation: Review and scan skill before deployment. <br>

## Reference(s): <br>
- [CPU Offloading Documentation](docs/training/cpu-offloading.md) <br>
- [Performance Tuning Guide](docs/performance-guide.md) <br>
- [Skill Structured Metadata](skills/nemo-mbridge-perf-cpu-offloading/card.yaml) <br>


## Skill Output: <br>
**Output Type(s):** [Configuration instructions, Shell commands, Analysis] <br>
**Output Format:** [Markdown with inline Python and bash code blocks] <br>
**Output Parameters:** [1D] <br>
**Other Properties Related to Output:** [None] <br>

## Evaluation Tasks: <br>
Evaluated via NVSkills-Eval 3-Tier Evaluation (external profile) on 2026-05-28. Tier 1 static validation ran 9 checks with 14 findings. Tier 2 deduplication ran 2 checks with 1 finding. Tier 3 live agent evaluation was not available. <br>

## Evaluation Metrics Used: <br>
Reported benchmark dimensions: <br>
- Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access. <br>
- Correctness: Checks whether the agent follows the expected workflow and produces the correct final output. <br>
- Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant. <br>
- Effectiveness: Checks whether the agent performs measurably better with the skill than without it. <br>
- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. <br>



## Skill Version(s): <br>
b058d061 (source: git SHA, committed 2026-05-28) <br>

## Ethical Considerations: <br>
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>

(For Release on NVIDIA Platforms Only) <br>
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail). <br>
1 change: 1 addition & 0 deletions skills/nemo-mbridge-perf-cpu-offloading/skill.oms.sig
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64 changes: 64 additions & 0 deletions skills/nemo-mbridge-resiliency/BENCHMARK.md
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# Evaluation Report

Evaluation of the `nemo-mbridge-resiliency` skill before publication through NVSkills-Eval.

This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the skill. The goal is to document whether the skill is safe, discoverable, effective, and useful for agents before it is published for broader workflow use.

## Evaluation Summary

- Skill: `nemo-mbridge-resiliency`
- Evaluation date: 2026-05-28
- NVSkills-Eval profile: `external`
- Overall verdict: FAIL
- Tier 3 live agent evaluation: not available in this report

## Agents Used

- Tier 3 agent details were not available in this report.

## Metrics Used

Reported benchmark dimensions:

- Security: checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access.
- Correctness: checks whether the agent follows the expected workflow and produces the correct final output.
- Discoverability: checks whether the agent loads the skill when relevant and avoids using it when irrelevant.
- Effectiveness: checks whether the agent performs measurably better with the skill than without it.
- Efficiency: checks whether the agent uses fewer tokens and avoids redundant work.

Underlying evaluation signals used in this run:

- No Tier 3 evaluation signal details were available in this report.

## Test Tasks

Tier 3 evaluation task details were not available in this report.

## Results

Tier 3 dimension rollup was not available in this report.

## Tier 1: Static Validation Summary

Tier 1 validation reported findings. NVSkills-Eval ran 9 checks and found 15 total findings.

Top findings:

- MEDIUM QUALITY/quality_correctness: SKILL_SPEC recommended field missing: 'metadata.author' (`skills/nemo-mbridge-resiliency/SKILL.md`)
- MEDIUM QUALITY/quality_correctness: SKILL_SPEC recommended field missing: 'metadata.tags' (`skills/nemo-mbridge-resiliency/SKILL.md`)
- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (`skills/nemo-mbridge-resiliency/SKILL.md`)
- MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (`skills/nemo-mbridge-resiliency/SKILL.md`)
- MEDIUM SCHEMA/author_missing: Author not specified in metadata (`skills/nemo-mbridge-resiliency/SKILL.md`)

## Tier 2: Deduplication Summary

Tier 2 validation passed. NVSkills-Eval ran 2 checks and found 0 total findings.

Notable observations:

- Context Deduplication: Collected 1 file(s)
- Inter-Skill Deduplication: Parsed skill 'nemo-mbridge-resiliency': 144 char description

## Publication Recommendation

The skill should be reviewed before NVSkills-Eval publication. Skill owners should address the findings above and rerun NVSkills-Eval to refresh this benchmark.
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